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LiDAR derived forest structure data improves predictions of canopy N and P concentrations from imaging spectroscopy

Overview of attention for article published in Remote Sensing of Environment, June 2018
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Mentioned by

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2 X users

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mendeley
86 Mendeley
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Article details
Title
LiDAR derived forest structure data improves predictions of canopy N and P concentrations from imaging spectroscopy
Published in
Remote Sensing of Environment, June 2018
DOI 10.1016/j.rse.2018.03.038
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 16 19%
Researcher 16 19%
Student > Master 9 10%
Student > Postgraduate 6 7%
Other 5 6%
Other 10 12%
Unknown 24 28%
Readers by discipline
Readers by discipline Count As %
Environmental Science 23 27%
Agricultural and Biological Sciences 16 19%
Earth and Planetary Sciences 5 6%
Engineering 4 5%
Computer Science 3 3%
Other 4 5%
Unknown 31 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 April 2018.
All research outputs
#20,183,108
of 30,025,272 outputs
Outputs from Remote Sensing of Environment
#3,635
of 4,356 outputs
Outputs of similar age
#218,290
of 347,970 outputs
Outputs of similar age from Remote Sensing of Environment
#68
of 83 outputs
Altmetric has tracked 30,025,272 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,356 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 347,970 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.